launchdarkly-ai-claude-messages

Anthropic Claude handler for launchdarkly-ai-server using the Anthropic Messages API (anthropic). Runs a manual tool-use loop without the Claude Agent SDK layer.

provides_for: ['Anthropic', 'messages'] — matches flag variations where provider.name is "Anthropic" and meta.mode is "messages".

Installation

pip install launchdarkly-ai-server launchdarkly-ai-claude-messages

Set ANTHROPIC_API_KEY in your environment (the Anthropic SDK reads it automatically).

Usage

With config()

import asyncio
from launchdarkly_ai_server import config, shutdown
from launchdarkly_ai_claude_messages import create_claude_messages_handler

async def main():
    result = await config(
        key="my-ai-config-flag",
        handler=create_claude_messages_handler(),
        tool_handlers={"search": lambda q: "..."},
    ).invoke("What is feature flagging?", {"kind": "user", "key": "user-123"})

    print(result.response)
    await shutdown()

asyncio.run(main())

Convenience wrapper

import asyncio
from launchdarkly_ai_claude_messages import claude_messages

async def main():
    user_input = "What is feature flagging?"
    result = await claude_messages(
        user_input,
        {"kind": "user", "key": "user-123"},
        {"key": "my-ai-config-flag"},
        variables={"user_input": user_input},
    )
    print(result.response)

asyncio.run(main())

How It Works

• Uses the system prompt and conversation history defined in your LaunchDarkly flag config.
• Template placeholders ({{variable}}) in the prompt are substituted using variables before the call.
• If tools are defined in the flag config, executes them as the model requests and feeds results back until the model produces a final response.
• Emits an OTel span and LaunchDarkly telemetry for every call.

Choosing Between claude-agents and claude-messages

Environment Variables